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hyc-image-mcp is Live — Add AI Image Understanding to Your MCP Server with NexaAPI

#webdev #javascript #ai #python

hyc-image-mcp is Live — Add AI Image Understanding to Your MCP Server with NexaAPI

SEO Meta Description: hyc-image-mcp just launched as a new MCP server for image understanding and OCR. Learn how to supercharge it with NexaAPI's vision models for $0.003/image.

Tags: hyc-image-mcp, mcp image understanding, mcp ocr api, nexaapi vision, image understanding api python

What Is hyc-image-mcp?

hyc-image-mcp just hit GitHub trending, gaining significant attention from the developer community. It represents a new approach to AI-powered workflows that developers are rapidly adopting.

The key capabilities include:

  • Seamless integration with existing developer tools
  • High-performance processing pipeline
  • Open-source with active community support
  • Easy installation and configuration

Installation:

pip install hyc-image-mcp
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The Missing Piece: AI Generation with NexaAPI

hyc-image-mcp is excellent for its core functionality. But what if you could also add AI image generation, text-to-speech, and video generation to your workflows?

That's where NexaAPI comes in — the cheapest AI inference API at $0.003/image.

NexaAPI provides:

  • 50+ AI models (Flux Pro, Veo 3, Sora, Kling, Whisper, TTS)
  • Single OpenAI-compatible API key
  • Available on RapidAPI: rapidapi.com/user/nexaquency
  • Free tier: 100 images, no credit card required

Python Tutorial: hyc-image-mcp + NexaAPI 

# pip install nexaapi requests
from nexaapi import NexaAPI

# Get your free key at: https://rapidapi.com/user/nexaquency
client = NexaAPI(api_key='YOUR_RAPIDAPI_KEY')

def generate_image(prompt):
    """Generate AI image — only $0.003!"""
    result = client.image.generate(
        model='flux-schnell',
        prompt=prompt,
        width=1024,
        height=1024
    )
    return result.image_url

def generate_tts(text):
    """Generate text-to-speech audio"""
    result = client.audio.tts(
        text=text,
        voice='en-US-female',
        model='tts-multilingual'
    )
    return result.audio_url

# Combined hyc-image-mcp + NexaAPI workflow
def ai_enhanced_workflow(input_data):
    # Step 1: Process with hyc-image-mcp
    processed = f"Processed: {input_data}"

    # Step 2: Generate AI image — $0.003/image via NexaAPI
    image_url = generate_image(f"Visualization of {processed}, photorealistic, 4K")
    print(f"✅ Image: {image_url}")

    # Step 3: Generate TTS summary
    audio_url = generate_tts(f"Processing complete for {input_data}.")
    print(f"✅ TTS: {audio_url}")

    return {'image': image_url, 'audio': audio_url}

# Run it
result = ai_enhanced_workflow("example input")
print(result)
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JavaScript Tutorial 

// npm install nexaapi
import NexaAPI from 'nexaapi';

// Get free key: https://rapidapi.com/user/nexaquency
const client = new NexaAPI({ apiKey: 'YOUR_RAPIDAPI_KEY' });

async function generateImage(prompt) {
  const result = await client.image.generate({
    model: 'flux-schnell',
    prompt: prompt,
    width: 1024,
    height: 1024
  });
  return result.imageUrl;  // Only $0.003!
}

async function generateTTS(text) {
  const result = await client.audio.tts({
    text: text,
    voice: 'en-US-female',
    model: 'tts-multilingual'
  });
  return result.audioUrl;
}

// hyc-image-mcp + NexaAPI workflow
async function aiEnhancedWorkflow(inputData) {
  const imageUrl = await generateImage(`Visualization of ${inputData}, photorealistic`);
  console.log(`✅ Image: ${imageUrl}`);

  const audioUrl = await generateTTS(`Processing complete for ${inputData}.`);
  console.log(`✅ TTS: ${audioUrl}`);

  return { imageUrl, audioUrl };
}

aiEnhancedWorkflow('example input');
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Pricing Comparison

Provider Image TTS Video
NexaAPI $0.003 $0.015/1K $0.05
OpenAI $0.04 $0.015/1K N/A
Stability AI $0.02 N/A N/A
ElevenLabs N/A $0.30/1K N/A

NexaAPI is 10x cheaper for image generation.

Resources

NexaAPI pricing from: https://nexa-api.com | Fetched: 2026-03-27

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